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## Time-stamp: "Last modified 2024-12-11 16:08:11 delucia"
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cols <- 1000
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rows <- 1000
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dim_cols <- 50
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dim_rows <- 50
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ncirc <- 20 ## number of crystals
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rmax <- cols / 10 ## max radius (in nodes)
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set.seed(22933)
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centers <- cbind(sample(seq_len(cols), ncirc), sample(seq_len(rows), ncirc))
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radii <- sample(seq_len(rmax), ncirc, replace = TRUE)
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mi <- matrix(rep(seq_len(cols), rows), byrow = TRUE, nrow = rows)
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mj <- matrix(rep(seq_len(cols), each = rows), byrow = TRUE, nrow = rows)
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tmpl <- lapply(seq_len(ncirc), function(x) which((mi - centers[x, 1])^2 + (mj - centers[x, 2])^2 < radii[x]^2, arr.ind = TRUE))
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inds <- do.call(rbind, tmpl)
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grid <- matrix(1, nrow = rows, ncol = cols)
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grid[inds] <- 2
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alpha <- matrix(1e-5, ncol = cols, nrow = rows)
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alpha[inds] <- 1e-7
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## image(grid, asp=1)
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## Define grid configuration for POET model
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grid_setup <- list(
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pqc_in_file = "./barite_fgcs_2.pqi",
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pqc_db_file = "../barite/db_barite.dat", ## database file
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grid_def = grid, ## grid definition, IDs according to the Phreeqc input
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grid_size = c(dim_cols, dim_rows), ## grid size in meters
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constant_cells = c() ## IDs of cells with constant concentration
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)
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bound_length <- cols / 10
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bound_N <- list(
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"type" = rep("constant", bound_length),
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"sol_id" = rep(3, bound_length),
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"cell" = seq(1, bound_length)
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)
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bound_W <- list(
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"type" = rep("constant", bound_length),
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"sol_id" = rep(3, bound_length),
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"cell" = seq(1, bound_length)
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)
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bound_E <- list(
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"type" = rep("constant", bound_length),
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"sol_id" = rep(4, bound_length),
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"cell" = seq(rows - bound_length + 1, rows)
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)
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bound_S <- list(
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"type" = rep("constant", bound_length),
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"sol_id" = rep(4, bound_length),
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"cell" = seq(cols - bound_length + 1, cols)
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)
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diffusion_setup <- list(
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boundaries = list(
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"W" = bound_W,
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"N" = bound_N,
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"E" = bound_E,
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"S" = bound_S
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),
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alpha_x = alpha,
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alpha_y = alpha
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)
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dht_species <- c(
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"H" = 7,
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"O" = 7,
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"Ba" = 7,
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"Cl" = 7,
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"S" = 7,
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"Sr" = 7,
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"Barite" = 4,
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"Celestite" = 4
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)
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pht_species <- c(
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"Ba" = 4,
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"Cl" = 3,
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"S" = 3,
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"Sr" = 3,
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"Barite" = 0,
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"Celestite" = 0
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)
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chemistry_setup <- list(
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dht_species = dht_species,
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pht_species = pht_species
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)
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## Define a setup list for simulation configuration
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setup <- list(
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Grid = grid_setup, ## Parameters related to the grid structure
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Diffusion = diffusion_setup, ## Parameters related to the diffusion process
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Chemistry = chemistry_setup
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)
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iterations <- 100
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dt <- 200
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checkpoint_interval <- 20
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control_interval <- 20
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mape_threshold <- rep(3.5e-3, 13)
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#out_save <- seq(50, iterations, by = 50)
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list(
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timesteps = rep(dt, iterations),
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store_result = FALSE,
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#out_save = out_save,
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checkpoint_interval = checkpoint_interval,
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control_interval = control_interval,
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mape_threshold = mape_threshold
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)
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@ -1,49 +0,0 @@
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SOLUTION 1
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units mol/kgw
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water 1
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temperature 25
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pH 7.008
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pe 10.798
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S 6.205e-04
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Sr 6.205e-04
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END
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SOLUTION 2
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units mol/kgw
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water 1
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temperature 25
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pH 7.008
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pe 10.798
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S 6.205e-04
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Sr 6.205e-04
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KINETICS 2
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Barite
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-m 0.00
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-parms 50. # reactive surface area
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-tol 1e-9
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Celestite
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-m 1
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-parms 10.0 # reactive surface area
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-tol 1e-9
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END
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SOLUTION 3
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units mol/kgw
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water 1
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temperature 25
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Ba 0.1
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Cl 0.2
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END
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SOLUTION 4
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units mol/kgw
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water 1
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temperature 25
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Ba 0.2
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Cl 0.4
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END
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RUN_CELLS
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-cells 1 2 3 4
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END
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Binary file not shown.
43
bin/dol.pqi
43
bin/dol.pqi
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SOLUTION 1
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units mol/kgw
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water 1
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temperature 25
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pH 7
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pe 4
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PURE 1
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Calcite 0.0 1
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END
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RUN_CELLS
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-cells 1
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COPY solution 1 2
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PURE 2
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O2g -0.1675 10
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KINETICS 2
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Calcite
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-m 0.000207
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-parms 0.05
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-tol 1e-10
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Dolomite
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-m 0.0
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-parms 0.005
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-tol 1e-10
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END
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SOLUTION 3
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units mol/kgw
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water 1
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temp 25
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Mg 0.001
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Cl 0.002
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END
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SOLUTION 4
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units mol/kgw
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water 1
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temp 25
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Mg 0.002
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Cl 0.004
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END
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@ -1,135 +0,0 @@
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rows <- 400
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cols <- 400
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grid_def <- matrix(2, nrow = rows, ncol = cols)
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# Define grid configuration for POET model
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grid_setup <- list(
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pqc_in_file = "./dolo_fgcs.pqi",
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pqc_db_file = "./phreeqc_kin.dat", # Path to the database file for Phreeqc
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grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
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grid_size = c(5, 5), # Size of the grid in meters
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constant_cells = c() # IDs of cells with constant concentration
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)
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bound_def_we <- list(
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"type" = rep("constant", rows),
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"sol_id" = rep(1, rows),
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"cell" = seq(1, rows)
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)
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bound_def_ns <- list(
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"type" = rep("constant", cols),
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"sol_id" = rep(1, cols),
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"cell" = seq(1, cols)
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)
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diffusion_setup <- list(
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boundaries = list(
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"W" = bound_def_we,
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"E" = bound_def_we,
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"N" = bound_def_ns,
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"S" = bound_def_ns
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),
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inner_boundaries = list(
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"row" = floor(rows / 2),
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"col" = floor(cols / 2),
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"sol_id" = c(3)
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),
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alpha_x = 1e-6,
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alpha_y = 1e-6
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)
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check_sign_cal_dol_dht <- function(old, new) {
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if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
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return(TRUE)
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}
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if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
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return(TRUE)
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}
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return(FALSE)
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}
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check_sign_cal_dol_interp <- function(to_interp, data_set) {
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dht_species <- c(
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"H" = 3,
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"O" = 3,
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"C" = 6,
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"Ca" = 6,
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"Cl" = 3,
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"Mg" = 5,
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"Calcite" = 4,
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"Dolomite" = 4
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)
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data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
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names(data_set) <- names(dht_species)
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cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
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dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
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cal_dol_same_sig <- cal == dol
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return(rev(which(!cal_dol_same_sig)))
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}
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check_neg_cal_dol <- function(result) {
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neg_sign <- (result["Calcite"] < 0) || (result["Dolomite"] < 0)
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return(neg_sign)
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}
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# Optional when using Interpolation (example with less key species and custom
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# significant digits)
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pht_species <- c(
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"C" = 3,
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"Ca" = 3,
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"Mg" = 3,
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"Cl" = 3,
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"Calcite" = 3,
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"Dolomite" = 3
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)
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dht_species <- c(
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"H" = 3,
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"O" = 3,
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"C" = 6,
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"Ca" = 6,
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"Cl" = 3,
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"Mg" = 5,
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"Calcite" = 4,
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"Dolomite" = 4)
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chemistry_setup <- list(
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dht_species = dht_species,
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pht_species = pht_species,
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hooks = list(
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dht_fill = check_sign_cal_dol_dht,
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interp_pre = check_sign_cal_dol_interp,
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interp_post = check_neg_cal_dol
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)
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)
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# Define a setup list for simulation configuration
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setup <- list(
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Grid = grid_setup, # Parameters related to the grid structure
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Diffusion = diffusion_setup, # Parameters related to the diffusion process
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Chemistry = chemistry_setup # Parameters related to the chemistry process
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)
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iterations <- 5000
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dt <- 200
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checkpoint_interval <- 100
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control_interval <- 100
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mape_threshold <- rep(3.5e-3, 13)
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mape_threshold[5] <- 1 #Charge
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out_save <- seq(1000, iterations, by = 1000)
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out_save = c(seq(1, 10), seq(10, 100, by= 10), seq(200, iterations, by=100))
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list(
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timesteps = rep(dt, iterations),
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store_result = FALSE,
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out_save = out_save,
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checkpoint_interval = checkpoint_interval,
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control_interval = control_interval,
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mape_threshold = mape_threshold
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)
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Binary file not shown.
1307
bin/phreeqc_kin.dat
1307
bin/phreeqc_kin.dat
File diff suppressed because it is too large
Load Diff
@ -1,18 +0,0 @@
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#!/bin/bash
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#SBATCH --job-name=dolo_5000_no_charge
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#SBATCH --output=dolo_5000_no_charge_%j.out
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#SBATCH --error=dolo_5000_no_charge_%j.err
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#SBATCH --partition=long
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#SBATCH --nodes=6
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#SBATCH --ntasks-per-node=24
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#SBATCH --ntasks=144
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#SBATCH --exclusive
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#SBATCH --time=12:00:00
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source /etc/profile.d/modules.sh
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module purge
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module load cmake gcc openmpi
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mpirun -n 144 ./poet --interp dolo_fgcs_3.R dolo_fgcs_3.qs2 dolo_5000_no_charge
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##mpirun -n 96 ./poet --interp barite_fgcs_2.R barite_fgcs_2.qs2 bar_warmup
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